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DBMS > CrateDB vs. EXASOL vs. Netezza vs. Snowflake

System Properties Comparison CrateDB vs. EXASOL vs. Netezza vs. Snowflake

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonEXASOL  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Data warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMS
Search engine
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.65
Rank#188  Overall
#92  Relational DBMS
#13  Search engines
Score2.75
Rank#88  Overall
#44  Relational DBMS
Score17.82
Rank#33  Overall
#20  Relational DBMS
Score2.39
Rank#100  Overall
#49  Relational DBMS
Websitecrate.iowww.exasol.com/­en/­productswww.ibm.com/­analytics/­netezzawww.snowflake.com
Technical documentationcrate.io/­docswww.exasol.com/­en/­community/­resourcesdocs.snowflake.net/­manuals/­index.html
DeveloperCrateExasolIBMSnowflake Computing Inc.
Initial release2013200020002014
License infoCommercial or Open SourceOpen Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java 7 VMLinux infoincluded in appliancehosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraintsyesyesyes
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
Java
Lua
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyesuser defined functions
Triggersnoyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-slave replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlrights management via user accountsAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
CrateDBEXASOLNetezza infoAlso called PureData System for Analytics by IBMSnowflake
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
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Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
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Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
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Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
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More resources
CrateDBEXASOLNetezza infoAlso called PureData System for Analytics by IBMSnowflake
Recent citations in the news

Crate.io Releases CrateDB 4.1 – the Database Built to Support IoT and IIoT Businesses
5 February 2020, GlobeNewswire

Crate.io Releases New Version of CrateDB – the Database Built to Support IoT and IIoT Businesses
5 September 2019, GlobeNewswire

Crate.io Launches CrateDB Cloud on Azure
21 October 2019, GlobeNewswire

Crate.io Receives 2019 IoT Evolution Industrial IoT Product of the Year Award
10 July 2019, GlobeNewswire

CrateDB 2.0 Enterprise stresses security and monitoring—and open source
16 May 2017, InfoWorld

provided by Google News

65% of Data Teams Have Experienced Employee Resistance to Adopting Data-Driven Methods
31 March 2020, StreetInsider.com

Many employees still resist data-driven culture
31 March 2020, TechTarget

Current and Future Growth of In-memory OLAP Database Market by Forecast to 2024: Leading Players – Altibase, IBM, Microsoft, Oracle, SAP SE
13 March 2020, Bandera County Courier

Revolut Achieves True Data Democratization With Exasol
31 July 2019, Business Wire

Exasol Teams up With Looker to Deliver Best In-Class Analytics Experience to Customers
6 November 2019, Business Wire

provided by Google News

Octopai Announces Support of Tabular on Azure Analysis Services, Netezza and Vertica
9 March 2020, MarTech Series

RIP Netezza, IBM’s FPGA-powered data warehousing dream
3 July 2019, The Register

Analytics Moves To The Cloud, And IBM i Data Goes With It
11 March 2020, IT Jungle

Snowflake CEO Talks Cloud Amid Coronavirus
3 April 2020, Investor's Business Daily

Breaking through Netezza End-of-Life
30 October 2018, Database Trends and Applications

provided by Google News

Snowflake CEO Talks Cloud Amid Coronavirus
3 April 2020, Investor's Business Daily

DBSync Cloud Replication Adds Support for New Cloud Data Warehouse System
18 March 2020, PR Web

Clumio SaaS Continues Contributions to $10 Billion ...
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